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data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
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knowledge and model structure developed within phase 1 of the research program Mistra Food Futures (mistrafoodfutures.se) and include extensive collaboration with various researchers and external
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of TrustLLM a large EU project developing trustworthy and factual language models. Host of the largest basic research program in Sweden Wallenberg AI, Autonomous Systems and Software Program (WASP) as
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pipelines. Tools for robust data and model provenance in adversarial environments. Methods for protecting training data and end users, including secure data removal and machine unlearning. Machine unlearning
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..[AB5] [BF6] [AB7] Merits are: Skills and experiences of diverse microscopy techniques, especially electron microscopy, computational programming and modeling are qualifying. Consideration will also be
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of diverse microscopy techniques, especially electron microscopy, computational programming and modeling are qualifying. Consideration will also be given to collaborative skills, drive and independence, and
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You will be placed at the Human-Centred Systems division in the group of Knowledge Modelling and Cognitive Systems, as part of the Linköping University Semantic Web group. The Semantic Web group conduct
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have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department
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-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes